Robust Coverage Control

Robust Coverage Control is a coverage control framework that ensures persistent and reliable spatial distribution of autonomous agents in dynamic or uncertain environments by maintaining performance guarantees under disturbances, modeling inaccuracies, and external perturbations.

22

Publications

879

Citations

74

Authors

36

Institutions

Publications per year

2017–2026

7

Authors

74

  1. SK
    S. Kannan

    Georgia Institute of Technology, United States

    2 publications · 24 citations

    2

    h-index

  2. GM
    George Mathew

    Mahatma Gandhi University, India

    2 publications · 24 citations

    2

    h-index

  3. AS
    Amit Surana

    Hartford Financial Services (United States)

    2 publications · 24 citations

    2

    h-index

  4. VS
    Vikram Srinivasan

    National University of Singapore, Singapore

    1 publications · 10 citations

    1

    h-index

  5. LZ
    Liang Zhang

    Harbin Institute of Technology, China

    1 publications · 27 citations

    1

    h-index

1–5 of 74

Venues

  1. IEEE Transactions on Cybernetics

    2 publications · 163 citations

    2

    h-index

  2. IEEE Robotics and Automation Letters

    1 publications · 27 citations

    1

    h-index

  3. Automatica

    1 publications · 11 citations

    1

    h-index

  4. Swarm and Evolutionary Computation

    1 publications · 33 citations

    1

    h-index

  5. IEEE Internet of Things Journal

    1 publications · 21 citations

    1

    h-index

1–5